Tesla Model Y - 3 Year Review, Battery Degradation

2023 Tesla Model Y LR

Three years ago we brought home a new Tesla Model Y Long Range. This made our home fleet a 2018 Model 3 and a 2023 Model Y; all EV, two Teslas. A couple of months ago, we sold our Model 3. This moved the Model Y from being just the vehicle that we each prefer to drive to our only vehicle. With roughly 24,400 miles on the Y's odometer at the end of year 3, it is time for the annual look back at how the Y has performed, where we have taken it, what software has arrived, and how the battery is holding up.

Miles and Moments on the Road

This year we added just over 7,000 miles. No big outting this year, just typical daily drives with a few regional day trips mixed in. The lack of long trips, also means we didn't Supercharging this year. A long range EV is very convenient when you can take a day trip to the gorge, the mountain, or the beach and make it back home on the same charge.

Hauling Home 3 Schip Laurels on an X-Rack

Tires, Speed, Weather, & Efficiency

The original Continental all-season tires and the Michelin winter set continue their seasonal rotation. Efficiency numbers stay in the same ballpark we saw last year: the all-seasons run more efficiently than the winter tires. For us, summer driving is generally 17% more efficient than winter trips (tires, temps, and weather all contribute to this range impact). Both sets of tires still have useful tread life left for another season or two of mixed Pacific NW weather.

Speaking of weather, in the chart below you can see a graph of efficiency vs temp. Anywhere from 65F to 90F is where the range is highest. The uptick at 100-105F does not have enough data to be considered valid. 

Below you can see the next chart of efficiency vs speed. Twenty to twenty five MPH is the sweet spot but the efficiency doesn't drop off too quickly, and is still above 74% even at 70MPH. I don't hypermile like I did in my short range EVs of yesteryear. 

Firmware, Features, and FSD Progress

We began the third year on software version 2025.26.4. We received 21 updates throughout the year and finished on build 2026.20.6.11 that included FSD Supervised v14.3.9. The steady stream of updates continues to bring small quality-of-life improvements, better camera views, refined collision warnings, and incremental FSD gains.

One of the best improvements arrived in April 2026 when dashcam retention expanded from 1 hour to 24 hours (assuming you have a large enough drive). If you are ever involved in a collision, you might not be able to grab the video quickly. This gives you much more of a chance to retrieve video that could help you prove the cause of the incident. Now you can also permanently save any clip from the previous day via the Dashcam Viewer.​

During the third year, FSD Supervised has moved from v13 to v14 and through several v14 builds. Unlike v9 that drove like a 15 year old, v14 is more confident in ordinary traffic. My intervention rate continues to decline. The new parking lot features were a welcome addition, it now remembers my preferred parking area. Lately, my interventions have been related to left turns onto a multi-lane road. FSD will often "swing wide" also called "widening the turn" or "drifting out." This is a common human driver error and I suspect the training data has too many occurrences. Depending on local jurisdiction, law enforcement may ticket this specific mistake as an improper turn, failure to maintain a single lane, or an unsafe lane change. I'll keep intervening every time it tries to earn a traffic ticket and eventually, the training set will be culled of this poor behavior.  

Battery Health After Three Years

Lithium-ion battery packs show heavy initial capacity fade in their first year as the Solid Electrolyte Interphase (SEI) layer (a protective chemical film formed on the anode surface from decomposed electrolyte components) matures, followed by a prolonged, gradual transition into steady-state degradation over the next few years. 

The chemical growth of the SEI layer is governed by diffusion-controlled kinetics, meaning it follows a square-root-of-time model. Because the protective film is thinnest during the first two years, lithium ions diffuse through it relatively easily, causing faster early-stage consumption of lithium inventory and associated degradation.

By year 4, that layer has thickened. Ions now have to travel much further through a dense, established passivation barrier, causing the rate of new SEI growth to slow down to a microscopic crawl. For our Y, years 4 and 5 could see a relatively flat degradation curve, with capacity loss under 1% per year.

At the end of year three the measured degradation stands below 10%. That brings the estimated remaining capacity to 76.9 kWh (with 72.9 kWh usable), resulting in an effective EPA-rated range of roughly 300 miles, compared to the 330 miles that we started with 3 years ago. The Long Range configuration still leaves comfortable margin for the trips we take, including winter conditions with a full load and roof rack.

We continue to keep the daily charge target in the middle of the pack rather than topping it off every night. That habit, combined with mostly Level 2 home charging, appears to be treating the cells reasonably well. The warranty still covers the pack well beyond our current mileage and age, so there is no practical concern.

Item	Year 1	Year 2	Year 3
Approximate Miles Added	~9,000	~8,000	~7,000
Cumulative Odometer	~9,000	~17,000	24,000
Supercharger Sessions	1	4	0
Reported Battery Degradation	1.9%	5.5%	1.7%

Looking at the degradation line it interesting. The year we Supercharged the most (year 2) is also the year we had the most degradation. However, these events are not likely causally related. Our charging habit of keeping the battery in a tight 40% to 62% charge window most days with only an occasional 100% calibration charge can starves the BMS for data, causing estimation drift. This combined with calendar aging and normal wear likely created a temporary reporting anomaly with degradation that actually occured in year 1 not showing up until later. 

Steady Ownership, Steady Progress

Three years in, the Model Y continues to do exactly what we asked of it. It handles the daily errands, the occasional mountain or coast run, and the software updates that keep arriving with new features and improvements. Battery capacity has now settled into a slower decline after the expected early drop. Range remains more than adequate. Charging is almost entirely an at home affair.

The Y has simply become part of the household routine. That quiet reliability is the real story after three years. The one and only Tesla service visit our Y has had was during year 2 when Tesla upgraded the in-cabin mmwave sensor and that was done by mobile service while the vehicle sat in our driveway. We will keep tracking the numbers and share the Year 4 update when the odometer and the calendar line up again. In the meantime the Model Y keeps moving us toward a future free from fossil fuels, one practical mile at a time.

You can read the Year 1 report here and the Year 2 report here.

If you are considering a Model Y or another Tesla, my referral link is: https://ts.la/patrick7819. 

If you want to track your Tesla's detailed battery performance and trip tracking, the you can use my TeslaFi referral code. 

Autonomous EVs Will Change Transportation & Travel

From Slog to Sleeper: How AEVs and Overnight Cabs Reshape Long Hauls

Autonomous vehicles are coming, and they will change everything. 

Once autonomous electric vehicles become common, the way we move within and between cities will shift. Call them autonomous electric vehicles, or AEVs for short. These machines combine battery power with sensors and software that handle the driving. The result is a private cabin that, with a tap in an app, travels on your schedule. No pilot needed, no fixed timetable, and no burning through cash or tailpipe emissions. This change will not arrive overnight, yet the engineering pieces are taking shape right now in limited fleets and well-mapped corridors. When this arrives, what once felt like a forced choice among mediocre options will open into something more flexible and more useful.

The Familiar Three-Way Contest

Consider the well-worn path from Seattle to Portland (STP). Locals sometimes call this drive "The Slog." The route is on Interstate 5, about 175 miles, and usually takes just under three hours in light traffic. Add a few minutes for a stop, and the trip still finishes inside four hours on most days. For decades, the alternatives have been flying or riding the train. Each comes with its own set of friction points.

A nonstop flight from SEA to PDX lasts roughly one hour in the air. Door-to-door reality is different. Travelers must reach the airport early, clear security, wait at the gate, board, fly, deplane, and then find ground transport to their actual destination. Three hours or more is typical once every step is counted (about the same as the drive time). One-way fares often start near $70 and climb past $150 depending on the day. Parking, car rental, or a rideshare adds even more cost and time.

Amtrak Cascades covers the same corridor in about three and a half hours. Tickets frequently appear in the $30 to $60 range for a coach seat, though peak periods push higher. The train offers Wi-Fi and room to stretch, yet departure times are fixed. Miss the morning train and the next one may not leave for several hours.

Drive, fly, or train, there's no high-speed option. It's 3 to 4 hours. Driving has the scheduling and cost advantage, but if you're the one behind the wheel, then kicking back and watching a movie isn't an option.

An AEV turns the same 175-mile stretch into something closer to a rolling living room. The vehicle leaves when its owner is ready. There's no security line, no boarding pass, and no hunt for airport parking. Once underway, the passenger can open a laptop, join a video call, play games, watch a movie, or simply enjoy the scenery. If a roadside diner or viewpoint looks inviting, the AEV can pull over. Electricity for the trip costs roughly $5 at typical Pacific Northwest rates. That figure assumes a modern EV efficiency of about four miles per kilowatt-hour and residential power near eleven cents per kilowatt-hour, typical in the region. Double the rate for roadside DC fast charging. If, at some future date, you own the AEV, that's all you'd be paying. If you're using a robotaxi service, the cost would be higher to cover the vehicle wear and tear, insurance, operating costs, and nominal profit.

Option	Typical Door-to-Door Time	One-Way Cost Range	Key Convenience Notes
AEV	2.5 to 3.5 hours	$5 to $15 electricity	Own schedule, productive cabin, optional stops
Flight	3 to 4+ hours	$70 to $150+	Fixed flights, security, airport transfers
Amtrak Cascades	3.5 to 4 hours	$30 to $80	Fixed timetable, station access, limited seats

The table makes the arithmetic plain. Time savings favor the AEV once airport overhead is included. Cost favors the AEV by a wide margin. Convenience favors the AEV most of all because the traveler keeps control of the clock and the itinerary. Add a second passenger and the cost for an AEV is nearly the same, whereas the price doubles for flights or train rides.

When the Slog Becomes a Choice

With AEVs, the old calculus flips. Trips that once felt too short for a flight and too long for a casual drive become pleasant again. A weekend visit, a same-day meeting, or a spontaneous dinner in the other city no longer requires negotiating airline schedules or train seats. The vehicle cabin itself becomes useful space. Work gets finished. Movies get watched. You could actually have a conversation with eye contact instead of just the occasional glance while you track the road ahead while driving. You arrive at your destination rested and ready for fun instead of exhausted and looking for a bed.

Climb Aboard the Autonomous Sleeper Cab

The next logical step is the autonomous sleeper cab. Picture a private cabin designed for rest: a lie-flat reclining surface, climate control tuned for sleep, soft lighting, blackout curtains (or electrochromic glass), and quiet suspension. You climb in during the evening, settle under a blanket, and doze off. The AEV handles the highway, manages charging stops if needed, and keeps a steady pace. By morning, you wake at your destination. Seattle to San Diego covers roughly 1,255 miles and about 18.5 hours of driving. Leave after lunch, arrive the next morning refreshed and ready for the day. Seattle to Chicago stretches near 2,060 miles and about 30 hours. One full overnight plus part of the next gets you there without the fatigue of traditional road trips or the airport shuffle of flights.

Two nights of travel opens nearly the entire continent. Cross-country moves, family visits, or multi-city business loops become feasible without booking flights weeks ahead. Dozens of Night Bus routes around the US alone could soon become AEV routes instead. The sleeper cab keeps the privacy and flexibility of a personal vehicle while removing the need to stay awake. Early routes will likely appear on well-mapped interstates where dense charging infrastructure already exists.

The SnoozeCruise

Just as we played around with possible names for a satellite-connected robotaxi, let's brainstorm some names for a sleeper-car-enabled AEV. Candidate names include:

• ZzzMobile 
• REST (Robotic Electric Sleeper Transport)
• SOAR (Sleeper Overnight Autonomous Ride)
• CABIN (Comfort Autonomous Battery-Integrated Nest)
• DREAM (Driverless Restful Electric Autonomous Mobile)
• NAP (Nighttime Autonomous Passage), and 
• SLOTH (Sleeper Long-haul Overnight Transit Habitat)

The last one, SLOTH, carries an extra bit of history: it was also one of the possible names floated for Starlink-enabled robotaxis in an earlier look at congestion and rides. You can read that discussion here: Robotaxi Rides and Congestion Killers.

Saying, "I'm going to hail a DREAM," has a nice ring to it. 

For a service like this, comfort will matter as much as autonomy. Vibration damping, noise isolation or active noise cancelation, and reliable climate control turn a moving cabin into a genuine overnight space. The interior of these vehicles will look more like first-class airline seats with lie-flat options or a private sleeper room on a train rather than the interior of vehicles on the roads today.

Corridors Waiting for the Same Shift

Seattle to Portland (AKA "The Slog") is only one example. Other well-known routes sharing a similar profile include: the Boston to New York corridor and the San Francisco to Los Angeles run. There's also Phoenix to LA (9 hours), Miami to Tampa (8 hours), Richmond to NY (8 hours), and Houston to Dallas (5 hours). Outside the US, the pattern repeats. London to Manchester covers roughly 200 miles and currently forces travelers to choose between rail tickets that sell out and flights with significant emissions that consume half a day once airport time is added. Tokyo to Osaka, about 300 miles, already supports high-speed rail yet still leaves room for complementary AEV last-mile travel that begins and ends at the doorstep. In each case, an AEV DREAM would allow a passenger to leave on personal timing, rest or work en route, and arrive without the intermediate transfers that currently dominate the day.

A pair of one-way train tickets from Chicago to Seattle with a roomette (private sleeper) are $1,200 – $1,800. Today, driving an EV on that same trip would only cost $130 – $270 in public charging network fees. Clearly there's room for AEV operators to offer a cheaper alternative.

After robotaxis dominate city streets, these intracity corridors are the next target. Add wireless charging in key locations, and the vehicles can glide in anytime, day or night, grab a few kWhs, and get back on the road.

Steady Steps Toward Freer Travel

AEVs will not erase trains or planes. Each mode still serves unique needs. What they will do is expand the set of practical choices. AEVs are cheaper, more convenient, and door-to-door. Drives that once felt like chores become productive, restful intervals. This is an idea that we first covered more than a decade ago; with Waymo and Tesla robotaxis expanding service, it's starting to become a reality. The Pacific Northwest Slog can become a footnote rather than a daily complaint. The autonomous sleeper cab extends that freedom across whole time zones and national borders. Progress will arrive in stages measured by robotaxi scaling to another city and another until they are a common sight. The destination is a transportation system that moves people safely and efficiently while drawing power from cleaner sources as we move to a future free from fossil fuels.

HW3's Legacy: A Financial and Logistical Analysis of Tesla's FSD Obligation

Calculating Tesla's HW3 Autonomous Obligation

Tesla started selling cars with Full Self-Driving (FSD) computers and cameras, known as Hardware 3 (HW3), in 2019. This was the standard for all of their vehicles through 2022 until HW4 (now known as AI4) supplanted them. During the HW3 window of time, Tesla made approximately 3 million vehicles that were sold as fully FSD-ready, "all that's needed is an over-the-air update, and these cars will be able to drive themselves." Now that we're on the cusp of autonomy, are these HW3 cars an albatross around Tesla's neck or an opportunity? 

At a mere 144 TOPs, it's becoming apparent that HW3 likely does not have the compute horsepower, memory bandwidth, or camera clarity necessary to achieve unsupervised FSD. So what's Tesla going to do if they achieve FSD (on AI4 or 5) but HW3 proves to be insufficient? Will they retrofit the HW3 vehicles? If so, how many cars will need to be upgraded, and how much will it cost Tesla (or you)? 

Introduction

The promise of FSD is a monumental technological endeavor that goes far beyond software alone; it is inherently tied to the hardware underpinning millions of Tesla vehicles already on the road. After working with Mobileye (Autopilot 1) and Nvidia (HW2/2.5), Tesla designed their own custom chip for HW3. This marked a critical milestone in their journey. HW3 was built into all Tesla vehicles for nearly 3 years. The HW3 chip was championed as the final hardware piece necessary for full autonomy. Now, with the vast improvements in subsequent hardware generations (HW4, AI5), some owners are wondering if HW3 will be able to cross the unsupervised finish line or if it will be like trying to run Borderlands 4 on a Commodore 64.

Today, we'll examine the size of the HW3 fleet, its FSD adoption rate, the retrofit costs, and how Tesla may deal with upgrades. 

The HW3 Fleet: Size and Timelines

Tesla began installing HW3 in new vehicles in April 2019 (replacing the Nvidia-based HW2.5) and continued to use HW3 in primary production until the shift to HW4 in early 2023. This production window generated a large population of vehicles. Based on cumulative delivery data, there are more than 3 million vehicles in the HW3 fleet. This is a substantial number of cars.

The following graph illustrates the estimated size of this fleet over time, factoring in the deliveries until Q4 2022, and then accounting for vehicle attrition with an age-dependent scrappage rate (4.5% annually for the first 12 years).

Tesla produced roughly 440,000 vehicles with HW2/2.5 (October 2016–early 2019) and about 4 million with HW3 (April 2019–mid/late 2023), for a combined total of approximately 4.45 million vehicles that were "FSD-ready" pre-AI4.  

AI4 (HW4) began rolling out in early 2023 on refreshed Model S/X. US Model Y factories switched around late May–June 2023. Pre-Highland Model 3, Shanghai, and Berlin continued HW3 production into late 2023 or early 2024. Full global transition to AI4 occurred thereafter. These figures are estimates since Tesla has not released official hardware-specific counts.

For this exercise, we'll assume:

1. FSD is solved in 2027;
2. Upgrades will be required for these HW2 - HW3 vehicles; 
3. Upgrades will start in Q4 of 2027.

When considering how many vehicles may need to be upgraded, three additional factors must be considered: scrappage, FSD adoption, and trade-ins.

Accounting for scrappage: in 2027, these vehicles will range from 4 to 11 years old. Modern light-duty vehicles (especially Teslas) show very low early attrition. Using a realistic average annual scrappage of 2% yields a survival rate of approximately 90%, meaning about 4 million still in operation. Even using an industry-average flat 4.5% annual scrappage rate leaves 3.30 million pre-AI4 vehicles still in operation in late 2027.

Scrappage didn't significantly reduce the number of upgrades that may be required, but the FSD-adoption rate is another story. From 2019 through 2022, FSD was not available in most of the world. Tesla officially stated that, at the end of 2022, over 285,000 customers in the U.S. and Canada had purchased FSD. That's a 9% FSD adoption rate. Retrofit upgrades are only required for vehicles where the owners have purchased FSD. Applying the scrappage rates to this value brings it down to only ~225,000 vehicles requiring retrofit upgrades. 

Our third factor for consideration is trade-ins. Today, if a vehicle with FSD-for-life is traded in to Tesla, when it is resold, it will no longer include FSD-for-life. The new owner can, optionally, purchase an FSD subscription. Plenty of the Tesla early adopters that purchased FSD-for-life prefer to be on the bleeding edge of technology. That means they are likely to trade in for vehicles with more range or features, like the Highlander and Juniper refreshes. This could bring our number of vehicles requiring retrofit upgrades below 200,000. Supercharging these trade-ins could be a possible solution (more on this later).

Comparing HW3, AI4, (and AI5) 

HW	Compute Power (TOPS)	Comparison to HW3
HW3	144 TOPS	Baseline (1x)
AI4 / HW4	300–500 TOPS	Approximately 2–3.5x more raw capable (With real-world FSD inference gains typically 3–5x)
AI5	2,000–5,000 TOPS (expected)	Approximately 14–35x more capable than HW3 (based on TOPS; production expected in 2026; Elon Musk describes it as 10–40x better than AI4 overall on FSD specific metrics)
Overall Comparison		AI4 has approximately 3 to 5 times the compute capability of HW3. AI5 is projected to vastly exceed this, enabling advanced unsupervised FSD and Robotaxi features, though exact real-world results are yet to be seen.

Can HW3 Do It?

This post generally assumes that an upgrade will be required for all HW2/2.5/3 vehicles to achieve full autonomy, but it's important to acknowledge that Tesla is still trying to squeeze as much as possible out of HW3. During the Q3 2025 Tesla Earnings Call, this issue was brought up directly. Here's the response from Tesla management about the future of this massive installed base.

The company's CFO explicitly stated that Tesla is "not abandoning HW3" and offered a clear assurance to concerned customers: "We will definitely take care of you guys." Adding, "My personal daily driver is a HW3 vehicle." Furthermore, Ashok Elluswamy, VP of AI SW, noted that a lighter-weight version of FSD V14, will be coming in 2026 for HW3. This V14 "Lite" will provide owners with many the latest advancements in the supervised FSD, albeit months behind the AI4 deployment.

So, whether or not Tesla finds a way to cram all of unsupervised FSD into HW3, those vehicle owners will have a path to a fully self-driving vehicle. Next, let's look at what those upgrade options may be.

Upgrade Options & Cost

When FSD is solved (Q4 2027 in this example), let's assume the cost for parts (e.g., AI4.5 or AI5 computer & cameras) and labor to retrofit a pre-AI4 vehicle is $2,500. For customers who've already paid for FSD, Tesla has an obligation to upgrade them at no cost. For owners who have not previously paid for FSD, this upgrade cost can be rolled into the FSD subscription cost, such as offering an upgrade if you commit to or pre-pay for 2 years of an FSD subscription. However, let's look at another (more likely) option.

Tesla has offered FSD transfers (off and on) for some time now (I've even used it). Currently, Tesla is no longer offering FSD transfers, but they could bring it back in a limited fashion to mitigate this issue. For example, if Tesla offered current pre-AI4 vehicle owners with FSD-for-life vehicles a $2000 "upgrade incentive" credit towards a new AI4+ vehicle, with FSD transfer offered as an early adopter award, many owners may take them up. They'd be trading in a vehicle that's between 4 and 11 years old, and they'd drive off (or should I say ride off) in a new vehicle with more range, faster charging, better cameras, and a new, far more powerful AI computer.

Above, we had the widdled the number of required retrofits below 200,000. Let's assume that 35% to 45% of pre-AI4 owners with FSD-for-life take Tesla up on this early adopter upgrade incentive program. That brings the required retrofit number down to ~120,000 vehicles.

This incentive would mean a lower margin on these vehicles for Tesla, but it would stop their service centers from being overrun with immediate retrofit requests, while being cheaper than performing retrofits.

Above, we initially estimated that there would be 225,000 vehicles requiring retrofits. If Tesla had to upgrade all of these at $2500 each, the total cost would be $562,500,000. However, Tesla can reduce this number by nearly 50% (down to $300 million) with time and smart trade-in trade-up incentives. This will be easy for Tesla to afford these upgrades and retrofits if they are the first company to offer for sale vehicles that allow you to sleep, work, or play while the vehicle drives you around, and FSD vehicle orders are pouring in.

FSD Adoption and Pricing Post-Solution

Once FSD is truly solved, the perceived value of Tesla's vehicles and FSD stack will fundamentally change. FSD will transform from an advanced driver-assistance system into a fully validated eyes-off, hands-off system. This will allow you to reclaim your time or just look out the window while your car chauffeurs you. Unsupervised FSD will also be a robotaxi enabler, allowing owners to put their cars into service to generate revenue. This certainty will dramatically increase both the adoption rate and the FSD sale price.

We can conjecture the following changes:

1. Price Increase: The subscription price of FSD (currently $99/month) will increase significantly. Unsupervised FSD is the "killer app" for cars, and the subscription price is likely to skyrocket. An initial price of $500 per month is a real possibility. It's even possible that, after general unsupervised FSD is solved, vehicles with FSD-for-life become highly sought after. 
2. Adoption Rate Increase: As soon as FSD is solved, the hesitancy surrounding the low adoption rate (9 to 12%) will evaporate. Customers will recognize FSD as a utility or an investment, pushing the take rate on all new vehicles to 50% in 2028 and eventually above 80% in following years. 
3. Retrofit Demand: Every Tesla built since October 2016 has the camera placements to allow retrofits to a new FSD system. The HW2, 2.5, and 3 fleet comprises ~4.45 million vehicles. This vast population of existing non-FSD-equipped vehicles would become the target of a massive upgrade demand. The potential FSD revenue from these post-upgrade vehicles would quickly eclipse the $300 million cost of "free" retrofits.

Crisitunity

Vehicles	Count
Native HW3	~4 million
HW2/2.5 upgraded to HW3	70,000
HW3 already with FSD	285,000
HW3 vehicles that Tesla will be obligated to retrofit Due to owners not upgrading to AI4+	125,000
HW2/2.5/3 FSD Potential Adoption	2,740,000

A naïve analysis might look at the 4+ million HW3 vehicles and see an obligation to upgrade these to FSD-ready on Tesla's dime. Millions of cars, costing thousands of dollars each, would be a huge liability for any company. However, the opposite is true. Only a small percentage (~9%) of these were purchased with FSD. Of those, many have (or will) upgrade to a vehicle with newer native HW and transfer FSD. This leaves the vast majority of the HW3 fleet (97%) with no obligation for free retrofits. And each of these vehicles in the 97% can be converted to a self-driving car if the owner subscribes to FSD at the higher 2028 price (which more than pays for the retrofit expense).

Conclusion

Our analysis of the pre-AI4 fleet highlights a moment of both challenge and opportunity for Tesla. The obligation to provide hardware retrofits to tens of thousands of customers who paid for FSD is a substantial financial undertaking, yet one to which Tesla management has committed. The explicit promise made during the Q3 2025 earnings call, "We will definitely take care of you guys," codifies the company's intent to fulfill the original FSD promise. The early adopters paid for the development of the technology, and there are multiple ways to reward them for this leap of faith without being financially ruinous.

Early adopters helped pay the cost and provided data for unsupervised FSD development, allowing Tesla entry into the vast autonomy market that this technology unlocks. This retrofit commitment, coupled with the development of the V14 "Lite" to retain HW3 owners in the ecosystem until a complete solution is developed, ensures that the HW3 fleet remains an active and valuable part of the effort. The hardware retrofit, while costly, will be swiftly offset by the massive increase in FSD adoption rate and the resultant multiplication of the FSD purchase price. This transforms the pre-AI4 legacy fleet from a liability into a highly valuable, revenue-generating asset that paves the way for a more sustainable future of shared autonomous mobility. The proactive communications from the company, especially regarding their promise not to abandon HW3, are essential for maintaining customer trust throughout this transition period.

Ω

Edit: Originally published November 5th, 2025. Updated Sept 2026 to note that FSD is no longer for sale; it is now subscription-only. Clarified the trade-in/trade-up program and other updates.

How To Charge a 2027 Chevy Bolt at Tesla Superchargers

The 2027 Chevrolet Bolt marks a welcome return for one of the most practical compact EVs ever built. It delivers an EPA-estimated 262 miles of range, DC fast charging up to 150 kW, and a starting price that keeps it accessible. Most importantly for road-trippers, this Bolt arrives with a native Tesla charge port, also known as NACS or SAE J3400. That single hardware change is a genuine advantage. Tesla operates the largest and most reliable EV charging network in the world, with tens of thousands of stalls that have set the standard for reliability for years.

Legacy automakers spent years promising better charging access while sticking with CCS connectors and fragmented networks, apps, and membership. GM finally moved past this by equipping the 2027 Bolt and the rest of its 2027 EV lineup with native NACS ports. This gives owners direct access to Superchargers without adapters. Pair that hardware with two new software features from GM, Energy Pass and Plug-and-Charge, and the friction of public charging drops dramatically.

Energy Pass: One App to Rule the Networks

Energy Pass lives inside the myChevrolet app that Bolt owners already use. It consolidates access to many major DC fast-charging networks so you no longer need to juggle separate logins, payment methods, and interfaces. At launch, it covers Tesla Superchargers, IONNA, and Electrify America, with ChargePoint and EVgo coming soon. Together, these networks cover roughly 70% of US DC fast chargers, plus many Level 2 stations.

Enrollment is free and requires only a one-time setup. You add a single payment method that works across the participating networks. The app then shows a live map of available stalls, complete with ratings, hours, pricing, connector types, and a clear indication of the stations that support Plug-and-Charge. You can also review live charging status, history, receipts, and occasional network-specific discounts. In short, Energy Pass treats the charging landscape more like a unified data network than a collection of incompatible silos.

Network	Energy Pass Access	Plug and Charge Status
Tesla Supercharger	At launch	Firmware V662.20 or later enables Plug-and-Charge at Tesla Superchargers
IONNA	At launch	Live
Electrify America	At launch	Supported via Energy Pass
ChargePoint	Coming soon	Planned August/Sept 2026
EVgo	Coming soon	Expected by end of year 2026 with early testing before then at select stations

Plug and Charge: The Zero-Friction Ideal

Plug-and-Charge takes the experience one step further. At compatible stations (like Tesla Superchargers), the vehicle authenticates itself to the charger using the plug-and-charge protocol (ISO 15118). You simply park, plug in the NACS connector, and charging begins. Payment is handled in the background through your Energy Pass account. No phone, QR codes, tapping apps, or credit cards are required at the stall.

This makes the Supercharger experience for Bolt owners as seamless as it is for Tesla drivers.

Configuring Plug and Charge for Tesla Superchargers

Here is the practical sequence that gets a 2027 Bolt ready for effortless Supercharger sessions.

• Confirm your software is current. Open the myChevrolet app or the vehicle’s center display and check for available over-the-air updates. Install any pending packages that mention Energy Pass, Plug and Charge, or Tesla Supercharger compatibility. The critical NACS Plug and Charge enablement arrives as a later-2026 OTA for native-port vehicles.
• Enroll in Energy Pass. Log into the myChevrolet app with your GM account. Navigate to the Energy Pass section, typically found under your profile initials or in the charging menu. Complete the free enrollment and add a payment method. This single account now covers Tesla Superchargers and the other supported networks.
• Enable Plug and Charge for the Tesla network. Return to the Energy Pass menu. Select “included networks”, locate Tesla Supercharger, and toggle the plug-and-charge feature on. The app lets you enable or disable the function per network, giving you control if you prefer to manually start charging at certain locations.
• Verify station compatibility in the map. Use the app’s charging map to search for nearby Superchargers. Compatible stalls will display a Plug and Charge indicator. Filter or note those locations so you know where the automatic handshake will work.
• Test the process. Pull up to a supported Supercharger stall, open the charge port, and insert the NACS connector. The vehicle and charger should negotiate authentication automatically. If you are prompted on the screen to select a stall number, then your configuration is not complete. Charging should begin without further input. You can monitor the progress in the myChevrolet app. The session and billing will appear under your Energy Pass history.

If the charging session does not start automatically, double-check that Plug and Charge is toggled on for Tesla and that your payment method is valid. The software for all of this is new, and occasional bugs still occur.

Practical Tips for Smooth Sessions

The 2027 Bolt’s native NACS port eliminates the need for a DC adapter at Superchargers, though GM still offers approved adapters for other scenarios. Precondition the battery when the navigation system routes you to a fast charger; the Bolt can sustain high rates more effectively with a warm pack. Supercharger stalls vary in maximum output, so the app’s live data helps you choose the best available post.

Because Energy Pass stores one payment method across networks, keep an eye on the transaction history for accurate cost tracking. Occasional network discounts, such as the 10 percent offered at certain IONNA sites for Energy Pass users, appear automatically when available.

Charging Down The Road

The combination of a native NACS port, Energy Pass, and Plug and Charge moves GM closer to the frictionless experience Tesla has offered for years. For the 2027 Bolt owner, charging at a Supercharger no longer requires juggling apps or adapters. You enroll once, enable the feature; after that, simply plug in. That is the pragmatic progress the EV transition needs: fewer hassles, greater ease of use, and a charging network that finally feels like a coherent system rather than a patchwork of competing networks.

As more 2027 GM models adopt the same NACS hardware and as the Plug and Charge rollout expands, the advantage compounds. The network of chargers starts to behave more like a reliable system with redundancy. It becomes something that works for drivers who just want to arrive, plug in, and get on with their day; that is progress toward our future free from fossil fuels.

Cybercab: The day the steering wheel went away

The Twilight of the Steering Wheel

Before the steering wheel became the standard method for directing a vehicle, early motor carriages relied on simple levers known as tillers. As vehicles became faster, heavier, and more complex in the early 1900s, circular steering wheels and pedals replaced tillers to provide drivers with mechanical leverage. Automotive progress has repeatedly advanced by improving the human-to-machine interface. The progress continued with power steering; then the clutch went away, eliminating the difficult-to-learn clutch-gas feathering maneuver; now the next step in this progression has arrived. After more than a century as the primary human interface, the steering wheel is being replaced by sensor suites, camera vision, and artificial intelligence.

Clutches, Combustion, and Control Clearance

The decline of driver-operated controls follows an established pattern of technological displacement; the manual clutch spent decades in steady retreat, an elimination accelerated by single-speed electric drivetrains that offer instant torque, smooth operation, and zero gear shifting.

Internal combustion engines (ICE) entered their own systemic decline after reaching global peak demand in 2017; gas vehicles dominated personal transport for over a century, but battery electric platforms proved to have performance and economic advantages. Just as electric motors rendered multi-speed gearboxes and clutches obsolete, autonomous driving hardware is removing physical steering assemblies entirely.

From Tillers to Unsupervised Networks

Steering wheel design underwent continuous refinement over twelve decades, expanding from rigid wooden spokes to padded rims filled with airbags, thumb switches, and media controls. The 2020s brought transitional shapes like yokes and squircles, clearing sightlines for digital displays while preparing drivers for automated steering.

via @niccruzpatane on X

The launch of the Tesla Cybercab in 2026 marks the official milestone moment; as the first high-volume production vehicle built without a steering wheel, pedals, or rear window, it completes the transition that began when steering wheels replaced tillers. Physical linkages, steering columns, and rack-and-pinion assemblies yield to high-definition cameras, neural networks, and custom silicon.

Mechanical Feature	Peak Dominance Era	Primary Replacement	Current Market Status
Manual Transmission / Clutch	1920s to 1990s	Single-Speed EV Drivetrain	Niche / Collector Status
Internal Combustion Engine (ICE)	1910s to 2030s	Battery Electric Drivetrain	Majority Share; Structural Decline
Steering Wheels & Pedals	1900s to 2030s	Sensors, Vision, and AI Networks	Beginning Decline Today

Compute Capabilities and Cabin Real Estate

Removing the steering wheel requires complete trust in underlying compute architectures; early driver-assistance platforms relied on basic radar units and rule-based software, but modern autonomous fleets rely on vision neural networks operating on dedicated hardware stacks.

Tesla vehicles currently operate on AI4 hardware delivering 150 TOPS. AI5 promises to deliver over 2,000 TOPS, enabling processing speeds far exceeding human reflexes, with cameras processing all weather road conditions in real time, allowing unsupervised fleets to navigate complex traffic and conditions safely.

Beyond driving mechanics, steering-wheel-less vehicles alter interior vehicle design and economics; eliminating driver controls saves hundreds of dollars per vehicle in physical hardware, simplifies cabin assembly, and expands interior passenger space. Autonomous robotaxis increase overall asset utilization by moving passengers during peak hours and acting as dynamic urban infrastructure nodes when parked.

Charged Conclusions

The circular wheel replaced the tiller to give human drivers control over early mechanical carriages; today, advanced sensors and artificial intelligence remove the need for human control altogether. This grants the passengers the ability to do other things like watch a movie or play games rather than white-knuckling the wheel and getting upset with other drivers. This also means that people without the ability to drive now have more mobility options. There will be fewer collisions and roadway deaths. This moves personal transportation into its next clean, automated chapter.

As driverless fleets expand across urban centers, road safety will increase, transportation costs will drop, and cities will reclaim parking spaces for people; the elimination of the steering wheel is an essential step toward optimizing transport efficiency and accelerating our transition toward a future free from fossil fuels.

How Executive Order 14420 Impacts EVs, Storage, and Electric Rates

Protectionism Meets the Grid: How Executive Order 14420 Impacts EVs, Storage, and Electric Rates

The federal government officially declared a national emergency under Executive Order 14420 to protect the bulk power system from foreign security vulnerabilities. By restricting foreign-produced grid equipment, control firmware, and digital remote-access software linked to foreign entities, the order aims to shield transmission infrastructure from potential sabotage. However, adding supply chain friction across critical hardware will create deployment bottlenecks across the energy sector.

DC Fast Charging Infrastructure

Because transportation electrification is our primary focus at Cars With Cords, the immediate question is how this impacts EVs, and the answer is that it hits public fast charging. Megawatt-scale charging hubs, such as Tesla Supercharger stations, do not exist in a vacuum. They depend on high-voltage step-up transformers, specialized switchgear, and software to interface directly with the grid. Adding requirements for strict cybersecurity audits of remote-control firmware and restrictions on foreign balance-of-plant hardware will extend lead times for opening new fast-charging locations, temporarily slowing infrastructure deployment. This infrastructure certainly needs to be secure, but the impacts should be noted.

Industrial Storage, Residential ESS, and Solar Inverters

Industrial-scale battery energy storage systems (BESS), such as Tesla Megapacks, face similar headwinds. These massive installations rely on global supply chains for battery cells, battery management software, and high-voltage grid tie-in components. Vetting control firmware and re-sourcing switchgear will push back project commissioning dates.

For residential energy storage systems (ESS) like the Tesla Powerwall, the direct impact is milder because home batteries connect to low-voltage distribution networks rather than bulk transmission lines. However, utility-scale solar PV inverters face heavy scrutiny. Because grid-tied inverters rely on digital microprocessors, continuous firmware updates, and remote management protocols, foreign-sourced inverter hardware must undergo rigorous compliance checks to avoid import or installation bans.

Fossil Gas Turbines and the Carbon Silver Lining

Legacy utilities relying on fossil gas turbines (often deceptively marketed as "natural gas") will also feel the pinch. Turbine control systems, programmable logic controllers, and heavy step-up transformers require the exact same foreign-vendor clearance. If there is a silver lining for clean-energy advocates, it is that administrative friction and component delays will slow down the buildout of new fossil gas peaker plants, putting a temporary brake on fresh carbon dioxide emissions.

Upward Pressure on Energy Prices

The broader economic outcome is clear: electricity rates will rise. Re-sourcing hardware components, performing extensive software audits, and navigating delayed interconnections significantly increase capital expenditure for utility providers and project developers. Whether power is generated from clean solar arrays or burning fossil fuels, legacy utilities will inevitably pass these compliance and equipment costs directly onto consumers. Until domestic supply chains scale, regulatory protectionism will make powering our homes and charging our electric vehicles more expensive across the board.

Sector / Asset	Primary Restriction Vector	Expected Impact & Lead-Time Result
DC Fast Charging Hubs	Transmission tie-in hardware, step-up transformers, and remote management software.	Delays in opening new high-voltage stations due to firmware audits and balance-of-plant shortages.
Utility-Scale BESS (Megapacks)	Foreign battery cells, Battery Management Systems (BMS), and high-voltage grid interfaces.	Extended commissioning timelines and re-sourcing bottlenecks for foreign control components.
Solar PV Inverters	Digital microprocessors, continuous firmware updates, and remote access protocols.	Heavy cybersecurity vetting with potential import bans or compulsory hardware replacement.
Fossil Gas Peaker Plants	Turbine control systems, PLCs, and heavy step-up transformers.	Slowed deployment of new fossil gas generation, creation of temporary carbon caps, and increased compliance costs.

Don't Be The Kodak of Energy

The U.S. of A. has been a cradle of innovation since its beginning, from the Wright brothers' first flight to the Lunar landing that united a watching world. Yet today, as the nation that sparked the digital revolution grapples with its energy future, a troubling pattern emerges. The US clings to the fossil fuel frameworks of the 1900s, much like Kodak held fast to film long after inventing the digital camera. This reluctance to embrace renewable energy and electric vehicles (EVs) risks ceding global leadership to competitors. By investing boldly in clean power and efficient transport, the US can reclaim its pioneering spirit, secure economic vitality, and preserve the natural bounty of innovation for generations to come. Or it can cling to the energy systems of yesteryear and fade into the background. 

The Kodak Parallel in American Energy

Consider Kodak's fate in the late 20th century. The company dominated photography with its film empire, generating billions in revenue. Engineers at Kodak developed the first digital camera in 1975, a breakthrough that promised portability and instant results. Instead of embracing this innovation, Kodak's executives dismissed digital as a threat, fearing it would erode their core business. Other companies saw the potential and delivered the cameras consumers were demanding. By 2012, Kodak filed for bankruptcy, while rivals like Canon and Sony built empires on the technology Kodak birthed.

This story mirrors the US energy sector's trajectory. The nation pioneered much of the modern grid in the early 1900s, harnessing coal and oil to fuel industrial might. Hydropower dams like Hoover symbolized American ingenuity, powering cities and factories. Yet as solar panels and wind turbines emerged from US labs in the mid-20th century, much like Kodak, US policy and industry inertia have favored entrenched interests. Today, the US generates only 23% of its electricity from renewables, per International Energy Agency data. Natural gas and coal still claim over half, locking in vulnerabilities to price swings and supply disruptions. This path echoes Kodak's error of ignoring and (unsuccessfully) suppressing homegrown innovations because the status quo is profitable.

The Global Surge in Renewables and EVs

While the US hesitates, other nations accelerate. China, Europe, and even emerging markets pour resources into renewables and EVs, capturing market dominance and technological edges. In 2024, renewables overtook coal as the world's top electricity source, driven by solar and wind expansions. China alone hosts 47% of global installed solar and wind capacity, nearly double the combined total of the US and Europe. This investment yields results: China's solar and wind now supply 18% of its electricity, up from 9% in 2020.

EVs tell a starker tale. Global sales hit 17 million units in 2024, a record surge. China leads decisively, with EVs comprising 51% of new car sales, accounting for 66% of worldwide volume. Europe follows at about 20% market share, bolstered by aggressive incentives and charging networks. The US lags at 8.1%, despite domestic giants like Tesla.

The table below highlights these disparities:

Region	Renewable Share in Electricity Generation (2024)	EV Market Share of New Car Sales (2024)
US	23%	8.1%
China	31% (including hydro)	51%
Europe	42%	20%

Sources: International Energy Agency; Rho Motion; Ember Climate.

These figures underscore a shift. China added more renewable capacity in 2024 than the rest of the world combined, creating millions of jobs and slashing energy import bills. Europe, through unified policies, cut emissions while boosting GDP via clean tech exports worth $100 billion annually. The US, by contrast, risks isolation in a market projected to reach $2 trillion in EV value by 2035.

The Economic and Strategic Costs of Stagnation

The price of this lag extends beyond symbols. Fossil dependence exposes the US to geopolitical risks, as seen in recent oil shocks that inflated household costs by $500 per year on average. Renewables offer stability: wind and solar costs dropped 85% and 70% since 2010, making them cheaper than new coal plants. Yet US deployment crawls, hampered by regulatory hurdles and subsidy gaps.

Economically, the toll mounts. China dominates battery supply chains, controlling 80% of global production and undercutting US manufacturers. This erodes American competitiveness; a single gigafactory in Nevada employs thousands, but scaled nationally, renewables could add 5 million jobs by 2030, per World Resources Institute estimates. EVs amplify this: domestic production could generate $300 billion in annual revenue, yet tariffs and inconsistent policies drive investment abroad. Strategically, falling behind weakens national security. Allies in Europe advance toward energy independence, while adversaries exploit US vulnerabilities.

Patriotism demands action. The land of the free thrives when it leads, not follows. By streamlining permits and expanding tax credits, the US can unleash private sector dynamism, much as it did with semiconductors.

Conclusion

The US stands at a crossroads, Kodak's shadow a cautionary tale. The 1900s energy model served its era, powering victory in world wars and postwar booms. But clinging to it now dims the beacon of progress. Renewables and EVs are not mere alternatives; they are the next frontier of American exceptionalism, harnessing sun, wind, and innovation to fuel a resilient economy and safeguard our rivers, forests, and air.

Let us rally as one nation, from Capitol Hill to heartland farms. Invest in the technologies we invented. Champion policies that reward builders and dreamers. In doing so, the US will not only catch up but surge ahead, ensuring our children's inheritance is one of abundance, not austerity. The stars and stripes wave highest when ingenuity lights the way.

The Quarter Ton Comeback

My first EV was a little electric truck, and maybe my next EV will be one too. I picked up my first EV in 2007; it was nearly a decade old at that point. This was not a conversion; it was built as a pure EV by General Motors. It was a Chevy S10 EV. Having a little truck was very handy.

The Electric Quarter Ton

The first wave of electric trucks in the modern EV movement arrived with plenty of promise and even more hype. Rivian’s R1T, Ford’s F-150 Lightning, the Chevrolet Silverado EV, GMC Sierra EV, and Tesla’s Cybertruck showed the world that battery power could move serious metal. Yet they never quite conquered the market the way many of us hoped. The technology simply was not ready to deliver range, towing capacity, and an affordable price tag in one profitable package.

First-Generation Frustrations

Those early full-size EV trucks were engineering marvels, but they carried the weight of compromise. Massive battery packs delivered impressive EPA numbers on paper, yet real-world towing cut range in half or worse. Prices climbed well past the average truck buyer’s comfort zone, and gross margins suffered under the combined pressure of battery costs and low production volumes. Legacy automakers in particular leaned on half-measures; they electrified existing platforms rather than designing from a clean sheet. The result was heavy vehicles that struggled to achieve economies of scale; these trucks never reached the volumes needed to make that curve steep enough. Buyers noticed. Sales remained a niche rather than a revolution.

Big Bloat Brigade

Compact and mid-size trucks once filled American driveways and job sites. Vehicles like the Toyota Tacoma of earlier generations, the Ford Ranger, and even smaller offerings such as the Chevy S-10 ruled the quarter-ton segment. They were affordable, easy to park, and capable enough for daily work. Over the last twenty years, that segment shrank as manufacturers chased higher margins. Trucks grew longer, wider, taller, king cabs, and far more expensive. What began as practical work tools evolved into luxury lifestyle statements. The average transaction price for a new pickup climbed steadily while the practical mid-size segment nearly vanished. Many buyers still wanted something smaller and less costly; the market simply stopped offering them in meaningful numbers.

Mid-Size Momentum Returns

Fortunately, the next generation of electric trucks looks ready to revive that missing segment. Several manufacturers and startups are targeting the mid-size and compact space with vehicles that finally balance the three priorities of range, utility, and price. These new offerings treat the truck as a platform for practical electrification rather than a statement piece.

Consider the Ford Fathom. Built on the company’s new Universal EV platform and scheduled for deliveries in late 2027, it targets a starting price near $28,350. Ford promises more passenger volume than a Toyota RAV4, a usable bed, a frunk, and bidirectional power. The design emphasizes efficiency and cost control through modern manufacturing methods, and it will use the affordable LFP chemistry.

Slate Auto takes minimalism to an extreme. Their modular electric truck starts at $24,950 and can convert into an SUV configuration. With a projected 205 miles of range, 1,550-pound payload, and 2,000-pound towing capacity, it aims squarely at buyers who want basic capability without bloat. Direct-to-consumer sales and extensive accessory options keep the base price low while allowing owners to customize later. Gross margins remain positive from day one, according to the company.

Telo’s MT1 pushes the compact envelope further still. Roughly the length of a Mini Cooper yet offering a 60-inch bed and five seats, it claims up to 350 miles of range, 500 horsepower in dual-motor form, and towing beyond 6,600 pounds. Sustained 400 kW charging places it among the fastest-charging vehicles in any class. Production is targeted for late 2026 with initial volumes ramping in 2027.

Kia has also entered the conversation with plans for a body-on-frame midsize pickup for the U.S. market before 2030. The company intends to offer hybrid and extended-range electric variants, targeting roughly 90,000 annual sales. This shared architecture with a related Hyundai truck should help achieve the scale needed for better margins. 

Toyota, meanwhile, has already launched the Hilux BEV in markets outside North America. Sadly, this truck only has 149 miles (240 km) of range. You can expect to see a major battery upgrade to the Hilux if Toyota wants to move any of them when the competition hits. 

These vehicles share a common philosophy. They reject the notion that an EV truck must match the extreme dimensions of today’s full-size ICE models. By starting smaller they reduce battery size, cut curb weight, improve efficiency, and lower the cost of entry. Wright’s Law works in their favor as production volumes climb. Vertical integration or focused contract manufacturing further protects margins that eluded the first generation.

Comparison Snapshot

Model	Focus	Starting Price	Key Notes	Timeline
Ford Fathom	Mid-size	~$28,350	Full features, RAV4-like space	2027 arrival
Slate Truck	Compact modular	$24,950	205-mile range, convertible	Late 2026
Telo MT1	Ultra-compact	~$41,000	Up to 350 miles, high power	Late 2026
Kia midsize	Body-on-frame	TBD	HEV and EREV options	By 2030

The pattern is clear. The industry is rediscovering that not every truck buyer needs a three-ton beast. Many simply need reliable, efficient, and affordable capability.

The Road Ahead

The first generation of electric trucks proved the concept was possible. The next generation must prove it is practical and profitable. By returning to the mid-size and quarter-ton dimensions that once defined the segment, manufacturers finally have a realistic path to scale. Battery costs continue to decline, charging networks expand, and manufacturing processes grow more efficient. The result should be vehicles that deliver usable range, honest towing numbers, and price tags that attract mainstream buyers rather than early adopters alone.

Legacy automakers still risk half-measures if they merely electrify oversized platforms. The startups and the more aggressive programs at Ford and Kia show a better route: design the vehicle around the battery and the customer’s actual needs. When those pieces align, the electric quarter-ton can reclaim its place on American roads. The technology is no longer ahead of itself. It is arriving right on time.

Robotaxi Rides and Congestion Killers || Cybercabs With Satellite Uplinks

Cybercabs as Mobile Bandwidth Nodes

Smarter Swarms and Signals

If you've ever attended a massive stadium concert, a championship game, or a popular music festival, you know the frustration. You try to send a simple text message, upload a quick photo, or call a friend in the crowd. Your phone displays full bars, but it won't load a single page. Network congestion turns your high-tech smartphone into an expensive glass brick. Cellular networks are designed for normal loads; when you put a large crowd together, it's often more than they can handle. 

To solve this problem, telecom carriers deploy temporary mobile cell sites. The mobile communications industry calls these temporary setups deployables or part of the "Animal Farm". Traditionally, carriers tow in a Cell on Wheels, known as a COW, or drive in a Cell on Light Truck, known as a COLT. Some units use satellite dishes, which the industry calls SatCOLTs. Other setups rely on Cellular Repeaters on Wheels, known as CROWs, or diesel Generators on a Trailer, known as GOATs. These heavy vehicles require dedicated drivers, setup time, and prime parking spots. They sit parked for days, idling or burning fuel to power their equipment.

SatCOLT example

Now imagine a much smarter approach. What if the vehicle providing extra bandwidth also drives itself to the venue? What if that same vehicle brings passengers to the event, parks nearby, beams gigabits of data through a satellite constellation, and then gives rides to attendees heading home? 

Tesla has recently integrated the new V5 Starlink dish into the Cybercab. The obvious use case is providing bandwidth for the passengers in the vehicle. However, what if there are no passengers, or the passengers are only using a small fraction of the available bandwidth? Tesla has the chance to find a secondary revenue stream from a Cybercab fleet by making it one of the "farm animals."

It's a powerful synergy between Tesla autonomous hardware and SpaceXai satellite internet infrastructure. Instead of sitting idle as a single-purpose asset, an autonomous robotaxi can do double duty. It solves urban transit bottlenecks and wireless network gridlock at the exact same time.

Pitches, Packets, and Paws: The Animal Acronyms

Since the telecom world loves its animal acronyms, any Cybercab equipped with a Starlink dish deserves its own spot in the barnyard. Bringing autonomous robotaxis into the mobile infrastructure fleet allows us to update the industry nomenclature. After a little brainstorming, here are five possible animal-inspired acronyms for a Starlink-connected Cybercab deployable network node:

• CAT: Cybercab Antenna Terminal. 
• STAG: Starlink Tesla Autonomous Gateway. 
• RAM: Robotaxi Antenna Module. 
• SLOTH: StarLink Orbital Tesla Hub. 
• BEAR: Broadband Enabled Autonomous Robotaxi. 

Out of all five acronyms, BEAR stands out as my personal favorite. A fleet of BEARs roaming around a crowded stadium offers both muscle and agility.

The table below outlines how these five hardware configurations compare in function and primary telecom utility:

Mobility, Megabytes, and Money

The economics of traditional telecom deployables are often brutal. Carrier companies spend $20,000 to $50,000 per event to haul a massive COW or COLT to a venue. They pay technicians to set up telescoping masts, align microwave links, and monitor diesel power generators. Once the concert ends, that expensive equipment returns to a storage depot. It earns zero revenue until the next major event.

An autonomous BEAR flips this legacy model on its head. Robotaxis already generate revenue by moving people around urban centers. During a major sporting event or festival, passenger demand surges before kick-off and spikes after the final whistle. In the three hours between those peaks, dozens of Cybercabs park in nearby staging lots. Instead of sitting idle, these vehicles activate their Starlink dishes. They establish direct links with Low Earth Orbit satellites passing overhead.

The vehicles then broadcast localized 5G micro-cells or public Wi-Fi hotspots to the surrounding crowd. They can absorb up to 80% of localized data spikes near venue entrances. Carrier networks can offload massive volumes of data traffic onto the Starlink backbone. In return, cellular carriers pay the robotaxi fleet operator for temporary bandwidth offloading. A vehicle that once earned money only while moving now generates continuous cash flow while parked. And it's nearby and ready to pick up passengers when the event ends. It might even forward the request for someone to be picked up that it responds to. 

Engineering realities make this integration surprisingly practical. Electric vehicles carry massive onboard battery packs. A standard EV battery can power a high-performance Starlink dish and cellular radio stack for days without needing a recharge. They don't require noisy, polluting diesel GOAT generators.

Furthermore, autonomous mobility creates dynamic network flexibility. Traditional COWs remain locked in fixed positions for the duration of an event. A swarm of Cybercabs can dynamically redistribute itself. If a crowd shifts toward an outdoor exit, the vehicles can drive to new locations, distributing network capacity evenly across the venue perimeter.

Societal evolution and regulatory approvals move slowly. Telecom spectrum licenses, city taxi permits, and carrier roaming agreements will take time to negotiate. Commercial partnerships between autonomous fleets and wireless carriers must clear strict regulatory hurdles. Yet the financial math remains compelling. Fleet owners maximize asset utilization, carriers save on capital expenditures, and event attendees get seamless data speeds.

Final Volts: Smarter Networks for a Clean Era

The convergence of autonomous electric transportation and satellite communications marks a practical evolution in urban infrastructure. Relying on single-purpose, gas-guzzling utility trucks to solve temporary communication bottlenecks belongs to the past. By combining the autonomous capability of a Tesla Cybercab with the global reach of a Starlink satellite dish, we turn everyday transit assets into resilient, dual-purpose powerhouses.

These multi-use robotaxi swarms demonstrate how smart engineering and economic pragmatism go hand in hand. They reduce urban traffic, lower cellular congestion, and generate multiple revenue streams for fleet operators. Replacing traditional diesel-powered cell deployables with battery-electric autonomous nodes brings us another step closer to an efficient, quiet, and resilient world. Integrating these technologies helps accelerate our transition toward a future free from fossil fuels.

Make Data Centers Lower Your Electric Bill, Not Raise It

How Data Centers Can Slash Your Electric Bill

Compute Crisis and Consumer Costs

The artificial intelligence boom is triggering an unprecedented expansion of hyperscale compute hubs. These gargantuan data centers require immense electricity, threatening to trigger localized grid bottlenecks and spike monthly utility rates for average households. This demand surge places an unfair financial burden on residential ratepayers who receive no direct benefit from these digital monoliths (as we've discussed in previous posts).

As a result, public sentiment towards data centers has soured significantly over the past few years. Energy expert Jigar Shah recently shared that public approval for data centers has dropped to a dismal 29%. Consumers are growing increasingly weary of tech giants moving into their backyards while offering very little in return.

To quiet public frustration, legacy utilities are relying on hollow tactics. In one example, they threw a minor corporate donation at a town and forced data centers into long-term contracts fueled by "natural gas." This is a massive step backward. Let's be transparent: the term "natural gas" is a deceptive marketing term, so it will be called fossil gas for the remainder of this article. Just as legacy automakers protected the internal combustion engine (ICE) instead of embracing EVs, many legacy utilities cling to fossil gas rather than modernizing the grid. This tension was previously explored in our post, Data Centers: Threat to the Grid or Clean Energy Accelerators?.

Policy, POWER, and Protection

Fortunately, in some areas, proactive legislation is emerging as a powerful shield for residential ratepayers against runaway infrastructure costs. The landmark Protecting Oregonians With Energy Responsibility (POWER) Act protects household consumers from subsidizing corporate energy appetites. State utility regulators are utilizing this framework to completely overhaul how utilities like Portland General Electric (PGE) charge large industrial users.

The act establishes a clear financial boundary by creating a distinct customer class for facilities exceeding a 20-megawatt load. Under these rules, large data centers must cover 100% of local infrastructure upgrade costs that they require up front. They must sign mandatory 10 to 30-year utility contracts, face steep demand charges, and absorb a proposed 29% rate hike so household consumers see direct bill relief.

Furthermore, this forward-thinking policy ensures that industrial growth does not derail environmental progress. The legislation explicitly ties large-load interconnection approvals to strict emission limits, state clean energy targets, and local greenhouse gas reduction goals. This proves that economic expansion can be achieved without compromising climate goals, abandoning public accountability, or making residential customers pay for the electricity to power AI searches from around the globe.

Data Demands and Distributed Dividends

To solve this crisis long-term, we must shift from defensive protection to active optimization by looking through a prosumer lens. Instead of treating data centers as energy-sucking parasites, we can transform them into localized clean energy anchors. This collaborative architecture empowers neighborhoods to build true energy independence while optimizing the local grid.

We can easily understand this transformation by utilizing a classic web protocol analogy. Just as the internet relies on decentralized routers to move data packets efficiently, a modernized electrical grid can route electrons from distributed energy resources (DERs) to balance local peak demand. The grid no longer needs to be a rigid, one-way street controlled by an archaic monopoly.

Smart prosumers who own rooftop solar, home batteries, and a modern EV plugged into the garage can form regional alliances with these computing hubs. Through aggregated virtual power plants (VPPs), individual consumers can balance grid stress and seamlessly upload a kWh to the grid when data centers run hot. This turns a potential infrastructure threat into a massive community asset. For details, see our guide, How Virtual Power Plants Lower Your Electric Bill.

Math, Margins, and Microgrids

Achieving this future requires a complete structural breakthrough, which is precisely what Jigar Shah's concrete strategy lays out. Tech companies do not need to rely on sluggish utility monopolies to build out power generation; instead, they can spend a microscopic fraction of their annual revenue, specifically 1/1000th, to fund physical, clean energy infrastructure directly within a 10-mile radius of their data centers. This localized approach completely bypasses the grid queues of traditional electricity networks.

By installing battery storage and solar panels at scale, this hyper-local solution becomes remarkably inexpensive for tech giants. This distributed method protects corporate gross margins and avoids years of bureaucratic grid interconnection delays. Furthermore, this entire ecosystem deploys completely within a rapid 9-month timeframe. The data clearly contrasts the slow, expensive legacy model against this nimble approach:

Grid Strategy Metric	Traditional Connection Model	Shah's Distributed Asset Model
Capital Funding Cost	Expensive long-term utility investments passed down to localized ratepayers	A minuscule 1/1000th of corporate annual tech revenue
Deployment Timeline	Multiple years caught in legacy utility red tape	Rapid deployment and execution within 9 months
Consumer Bill Impact	Drastic upward pressure on regional monthly electricity rates	Direct 50% permanent reduction for local residents
Public Support Rating	A weak, failing 22% public approval	A commanding 67% public support rate

The Road Ahead

The ongoing compute explosion is forcing an inevitable shift toward vertical integration, local microgrids, and decentralized power architecture. The old model of centralized, monopolistic fossil generation is proving too slow and far too expensive to fuel the computing demands of the next decade. Relying on legacy utility half-measures will only result in soaring costs and public backlash.

If technology companies embrace true grid partnership through distributed assets and progressive policy frameworks like the Oregon POWER Act, they can completely bypass legacy inertia. They will save consumers money, secure their own operational reliability, and aggressively build a future free from fossil fuels. The spark for total grid modernization is officially here, and it is time for big tech to plug in.

Watch this Oregon data center power rate policy breakdown for an investigative look at how utility regulators are restructuring rates under the landmark legislation to ensure household electricity bills are protected from skyrocketing commercial computing loads.